Shrinkage estimators in simultaneous equation modelsfor the analysis of the beef market in México
DOI:
https://doi.org/10.18381/eq.v16i1.7157Keywords:
Instrumentos débiles, regresión LASSO, mínimos cuadrados en dos etapasAbstract
The main objective in this work was to use lassoregression (Least Absolute Shrinkage and Selection Operator) as a method of instrument selection in the estimation of two-stage least squares (Mc2E) in a system of simultaneous equations proposed to perform an econometric analysis of the market of beef in Mexico in the period 1972-2011. A determining factor in the performance of the estimators is the degree of correlation of the instruments with the endogenous variables in the first stage. When the instruments are weak, the Mc2E estimators are inconsistent, biased, and with large variances; Asymptotic results fail even with large samples. The results show that using lasso can select relevant instruments, and have better estimators that result in a better policy design.Downloads
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